Media
Leverage the power of cloud and AI to build better experiences, personalize offerings, monetize the data and build seamless cross-platform experiences.
Stay ahead in the media landscape
NStarX can help broadcasters and new media companies integrate AI, Data Science to their existing ecosystem and build Cloud-based platforms to stay competitive in the fast-evolving media landscape.
AI Driven Content Personalization
- User Profiling
- Recommendation Systems
- Dynamic Adaptation
- Context-Aware Recommendations
- Performance Optimization
Media Platform Development
- Scalable Platform Development
- Integration and Interoperability
- Security and Compliance
Multi-platform OTT Development
- Cross-Platform Development
- Consistent User Experience
- Adaptive Streaming
- Monetization
Data & Analytics for Media Industry
- Behavior Analytics
- Performance Analytics
- Usage Analytics
- Personalized Marketing
- A/B Testing
AI Driven Content Personalization
We can help you with AI-Driven Content Personalization strategies that can tailor content to individual users based on their behaviors, preferences, and patterns of interaction. Personalization can help you user engagement, satisfaction, and retention, and it can provide a competitive advantage for your organization.
User Profiling
Leverage AI to analyze user data gathered from various sources to create detailed user profiles. This can include explicit information such as age, location, or genre preferences, as well as implicit information derived from behavior like viewing history, watch times, browsing habits, and interactions with the platform.
Recommendation Systems
Use user profile and user engagement information to suggest content that aligned with the user’s interests and viewing habits. We can help identify the right algorithm or use an ensemble for your recommendation systems from popular methods like collaborative filtering (which makes recommendations based on similar users’ behaviors), content-based filtering (which recommends items like those the user has enjoyed in the past), and hybrid systems.
Dynamic Adaptation
Continuously monitor and update AI personalization system to adapt to changes in user behavior over time. As user starts showing interest in a new type of content, the leverage AI to quickly update the user profile and start recommending content in the new category.
Context-Aware Recommendations
AI can also consider the context in which the user is accessing the content. For instance, a user might prefer shorter videos during their morning commute and longer films on weekend evenings. AI can adapt to these patterns to make context-aware recommendations.
Performance Optimization
AI systems continuously learn and improve. They analyze the success of previous recommendations to refine their algorithms, ensuring that the recommendations become increasingly accurate and relevant over time.
Media Platform Development
Leverage cloud architecture patterns to build media platform that are dynamic, scalable, and flexible and are designed to efficiently serve content to a growing audience while also facilitating the rapid introduction of new features or services.
Scalable Platform Development
Cloud-based media platforms are inherently easy to scale. As your audience grows, the cloud-based infrastructure can scale up to meet increased demand, ensuring a smooth streaming experience for all users, irrespective of the number of simultaneous users. Similarly, if the demand decreases, the infrastructure can scale down, helping to optimize costs.
Integration and Interoperability
Easily integrate platforms to other API services, including analytics, AI/ML, advertising, customer support, billing, and more, enabling the creation of end-to-end media workflows in the cloud.
Security and Compliance
Build applications to be compliant with regional security and compliance standards, including encryption for data in-transit and at-rest, access controls, activity monitoring, and more.
Multi-platform OTT Development
We help you build multi-platform OTT applications that can that can run seamlessly across various form factors across multiple operating systems. Our goal is to provide a consistent and engaging user experience regardless of the device type or screen size. We help you navigate the complex landscape of screen sizes from phone to large screen televisions, operating system, like Android, iOS, Tizen, tvOS, Roku etc., each with their own unique design guidelines.
Cross-Platform Development
We help you build applications that can run on multiple platforms – such as iOS, Android, Windows, Linux, Smart TVs, and even gaming consoles. We can architect the solution, so users are able to view content seamlessly, regardless of the device they’re using. We leverage modern frameworks like React Native, Flutter, and Xamarin for creating cross-platform applications.
Consistent User Experience
Regardless of the platform, the user experience should be consistent. This includes not only the look and feel of the application but also its performance and responsiveness. We leverage industry standard design principles and guidelines, such as Material Design for Android and Human Interface Guidelines for iOS, to ensure a native look and feel for each platform.
Adaptive Streaming
For OTT applications, it’s vital to support adaptive bitrate streaming protocols like HLS (HTTP Live Streaming) or MPEG-DASH. These technologies adjust the video quality in real-time based on the viewer’s network conditions, providing the best possible viewing experience.
Monetization
Implementing various monetization strategies such as SVOD (Subscription Video on Demand), AVOD (Advertising-based Video on Demand), TVOD (Transactional Video on Demand), or a combination of these is an essential part of the development process.
Data & Analytics for Media Industry
We help you build multi-platform OTT applications that can that can run seamlessly across various form factors across multiple operating systems. Our goal is to provide a consistent and engaging user experience regardless of the device type or screen size. We help you navigate the complex landscape of screen sizes from phone to large screen televisions, operating system, like Android, iOS, Tizen, tvOS, Roku etc., each with their own unique design guidelines.
Behavior Analytics
Leverage AI to track and analyze user interactions with the platform in real time. Leverage the user generated data like content viewed, time spent, navigation patterns, search terms, and more to reveal user preferences and habits. Identify popular content and features, and pinpoint potential areas for experience improvement.
Performance Analytics
Evaluate the performance of different content pieces based on various metrics such as view count, watch time, likes/dislikes, shares, comments, and more. This helps determine what kind of content resonates most with the audience and can guide future content creation and acquisition strategies.
Usage Analytics
Analyze overall platform usage trends, including peak usage times, most used features, device types, user geographic distribution, and more. This can inform decisions about resource allocation, feature development, platform optimization, and marketing strategies.
Personalized Marketing
The insights gained from data analytics can also be used to personalize marketing strategies. This can involve targeted advertising, personalized content recommendations, and customized user experiences based on individual preferences and behaviors.
A/B Testing
Conduct A/B tests on different features, content, or marketing strategies, analyzing the results to determine which options perform best.